DeepSeek V4 Flash Vision (Exp) vs Gemini 4 Argon
Live Unit Economics, Prompt Cache Pricing, TTFT Latency & Multi-Benchmark Analysis
Which model is better: DeepSeek V4 Flash Vision (Exp) or Gemini 4 Argon?
Verified Performance & Unit Economics Delta (12 Dimensions)
Daily synchronized metrics across token pricing, prompt cache economics, latency, throughput, and 5 capability benchmarks.
| Metric / Dimension | DeepSeek V4 Flash Vision (Exp) | Gemini 4 Argon | Net Delta / Advantage |
|---|---|---|---|
| Input Cost / 1M Tokens | $0.22 | $2.00 | DeepSeek V4 Flash Vision (Exp) is 9.1x cheaper |
| Output Cost / 1M Tokens | $0.65 | $10.00 | DeepSeek V4 Flash Vision (Exp) (93.5% lower) |
| Prompt Cache Read / 1M | $0.007 | $0.100 | DeepSeek V4 Flash Vision (Exp) is 14.5x cheaper |
| Prompt Cache Write / 1M | $0.22 | $0.50 | DeepSeek V4 Flash Vision (Exp) is 2.3x cheaper |
| Context Window (Max Output) | 1,049k (128k out) | 1,024k (1000k out) | DeepSeek V4 Flash Vision (Exp) (1.0x larger context) |
| Avg TTFT Response Latency | 310ms | 850ms | DeepSeek V4 Flash Vision (Exp) (540ms faster) |
| Generation Speed (Throughput) | 165 tok/s | 115 tok/s | DeepSeek V4 Flash Vision (Exp) (+50 tok/s faster) |
| SWE-bench Verified (Coding) | 77.4% | 84.5% | Gemini 4 Argon (+7.1% lead) |
| GPQA Diamond (PhD STEM) | 91.3% | 93.8% | Gemini 4 Argon (+2.5% lead) |
| MMLU-Pro (Multi-Discipline) | 87.3% | 91.4% | Gemini 4 Argon (+4.1% lead) |
| MATH-500 (Quantitative Logic) | 96.4% | 98.2% | Gemini 4 Argon (+1.8% lead) |
| Inference Value Score (IVR) | 81.6 / 100 | 62.6 / 100 | DeepSeek V4 Flash Vision (Exp) (+19 pts) |
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Estimated Monthly Spend
$0.22/1M in · $0.65/1M out
Prompt Cache: $0.007/1M read · $0.22/1M write
$2.00/1M in · $10.00/1M out
Prompt Cache: $0.100/1M read · $0.50/1M write
When to Choose DeepSeek V4 Flash Vision (Exp)
Choose DeepSeek V4 Flash Vision (Exp) (DeepSeek) for ultra-low-cost open-weight multimodal MoE built for high-throughput visual document OCR, chart interpretation, and real-time autonomous coding agents — offering a 1,048k context window, 310ms TTFT, and $0.22/1M input pricing ($0.007/1M cached reads).
When to Choose Gemini 4 Argon
Choose Gemini 4 Argon (Google) for engineered with a 1M output token limit for long-horizon software engineering, cybersecurity vulnerability remediation, and deep multimodal enterprise work across legal and financial domains — offering a 1,024k context window, 850ms TTFT, and $2.00/1M input pricing ($0.100/1M cached reads).
Related Questions & Decision Factors
Which is cheaper: DeepSeek V4 Flash Vision (Exp) or Gemini 4 Argon?
DeepSeek V4 Flash Vision (Exp) is cheaper at $0.22/1M input tokens ($0.65/1M output) compared to $2.00/1M input ($10.00/1M output) for Gemini 4 Argon.
Which model has lower TTFT latency and higher tok/s throughput: DeepSeek V4 Flash Vision (Exp) or Gemini 4 Argon?
DeepSeek V4 Flash Vision (Exp) delivers faster first-token latency at 310ms TTFT (165 tok/s throughput) compared to 850ms TTFT (115 tok/s) for Gemini 4 Argon.
How do DeepSeek V4 Flash Vision (Exp) and Gemini 4 Argon compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek V4 Flash Vision (Exp) scores 77.4% versus 84.5% for Gemini 4 Argon. On GPQA Diamond graduate-level STEM reasoning, DeepSeek V4 Flash Vision (Exp) scores 91.3% versus 93.8% for Gemini 4 Argon (and 96.4% vs 98.2% on MATH-500).
When should you choose DeepSeek V4 Flash Vision (Exp)?
Choose DeepSeek V4 Flash Vision (Exp) (DeepSeek) for ultra-low-cost open-weight multimodal MoE built for high-throughput visual document OCR, chart interpretation, and real-time autonomous coding agents — offering a 1,048k context window, 310ms TTFT, and $0.22/1M input pricing ($0.007/1M cached reads).
When should you choose Gemini 4 Argon?
Choose Gemini 4 Argon (Google) for engineered with a 1M output token limit for long-horizon software engineering, cybersecurity vulnerability remediation, and deep multimodal enterprise work across legal and financial domains — offering a 1,024k context window, 850ms TTFT, and $2.00/1M input pricing ($0.100/1M cached reads).